Durkan, Conor

5 publications

ICML 2023 Reduce, Reuse, Recycle: Compositional Generation with Energy-Based Diffusion Models and MCMC Yilun Du, Conor Durkan, Robin Strudel, Joshua B. Tenenbaum, Sander Dieleman, Rob Fergus, Jascha Sohl-Dickstein, Arnaud Doucet, Will Sussman Grathwohl

NeurIPS 2021 Maximum Likelihood Training of Score-Based Diffusion Models Yang Song, Conor Durkan, Iain Murray, Stefano Ermon

ICML 2020 On Contrastive Learning for Likelihood-Free Inference Conor Durkan, Iain Murray, George Papamakarios

ICML 2019 Autoregressive Energy Machines Charlie Nash, Conor Durkan

NeurIPS 2019 Neural Spline Flows Conor Durkan, Artur Bekasov, Iain Murray, George Papamakarios